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. 2024 Nov 28;10:74. doi: 10.1186/s40981-024-00756-7

Analysis of factors related to anesthetic management affecting acute kidney injury occurring within 72 h after esophagectomy for esophageal cancer: a historical cohort study

Seiji Ishikawa 1,2,, Junko Hirashima 1, Makiko Hiroyama 1, Shojiro Ozato 1, Masayuki Watanabe 3, Katsuyuki Terajima 1
PMCID: PMC11604913  PMID: 39607542

Abstract

Background

The effects of factors related to anesthetic management, including anesthesia methods and infusion volume, on acute kidney injury (AKI) after esophagectomy have not been thoroughly investigated.

Methods

A historical cohort study of patients who underwent esophagectomy between January 2008 and December 2022 was conducted. AKI was defined according to the Kidney Disease Improving Global Outcomes creatinine criteria within 72 h after esophagectomy. Logistic regression was used to model the association between perioperative factors, including factors related to anesthetic management, and postoperative AKI.

Results

Of 1005 patients, 48 patients (4.8%) had AKI (40 stage 1 and 8 stage 2). AKI patients were older (67.8 vs. 65.0 years, P = 0.046) and more likely to have hypertension (72.9 vs. 37.9%, P < 0.001), chronic kidney disease (39.6 vs. 14.3%, P < 0.0001), red blood cell (RBC) transfusions (12.5 vs. 3.4%, P = 0.0085), and longer duration of anesthesia (518 vs. 490 min, P = 0.0058) than non-AKI patients. AKI patients were less likely to have epidural anesthesia (72.9 vs. 91.5%, P < 0.001). The distribution of inhaled anesthetics chosen was not significantly different between AKI and non-AKI patients. On multivariable logistic regression analysis, AKI was associated with the Brinkman index (per 100 units, odds ratio (OR) = 1.06), hypertension (OR = 3.39), chronic kidney disease (OR = 2.58), duration of anesthesia (per 10 min, OR = 1.03), epidural anesthesia (OR = 0.35) and RBC transfusion (OR = 3.27).

Conclusions

Except for epidural anesthesia, no significant association was found between AKI and factors related to anesthetic management. Epidural anesthesia may protect against early postoperative AKI in patients undergoing esophagectomy.

Keywords: Acute kidney injury, Epidural anesthesia, Esophageal cancer, Esophagectomy, Renal protection, Postoperative complication, Risk factors

Background

Esophagectomy is a complex surgical procedure involving the neck, chest, and abdomen that has significant mortality and morbidity. While the use of minimally invasive esophagectomy (MIE), which includes thoracoscopic, laparoscopic, mediastinoscopic, and robotic surgery, for esophageal cancer seems to be increasing globally [1], postoperative mortality and total morbidities remain high, ranging from 1.1% to 2.8% and 40.7% to 42.9%, respectively [2, 3]. Therefore, measures to prevent various postoperative complications may be helpful in improving the outcomes of patients undergoing esophagectomy.

Acute kidney injury (AKI) is one of the postoperative complications that has been shown to worsen both short-term [4, 5] and long-term outcomes [6, 7] in a variety of surgical procedures. Because anesthetic management, such as the anesthesia method, and the amount of fluid administered during surgery, may affect a patient’s inflammatory response and fluid status during and after surgery, early postoperative AKI appears to be strongly related to anesthetic management. Therefore, if the risk of early postoperative AKI can be reduced by improving anesthetic management, this may help improve the outcomes of patients undergoing esophagectomy. However, to the best of our knowledge, few studies have analyzed the risk of AKI after esophagectomy, taking into account anesthesia-related factors. For example, there has been only one study examining factors, including epidural anesthesia, associated with early postoperative AKI [8].

The goal of anesthesiologists is to improve patients’ outcomes by providing the best possible anesthetic management in patients undergoing esophagectomy. To achieve this goal, the present study focused on AKI in the early postoperative period and attempted to identify anesthesia-related factors that may help us improve anesthetic management. The objectives of the present study were threefold: (1) to calculate the incidence of AKI within 72 h after esophagectomy; (2) to identify anesthesia-related factors related to early postoperative AKI; and (3) to investigate the effects of AKI on outcomes.

Methods

This study was approved by the Institutional Review Board of The Cancer Institute Hospital of Japanese Foundation for Cancer Research (No. 1682, June 15, 2023), and the need for informed consent was waived. This report is based on our single-center, historical cohort study of patients who underwent esophagectomy and reconstruction and is in keeping with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [9].

Patient inclusion and data collection

A historical cohort study of patients who underwent esophagectomy for esophageal cancer between January 2008 and December 2022 was conducted. Patients who received hemodialysis preoperatively were excluded. Patients who underwent esophagectomy without thoracotomy or thoracoscopy (e.g., transhiatal esophagectomy, mediastinoscopic esophagectomy) were excluded because our interest was in the protective effects that MIE might have on the kidneys compared with open thoracotomy, as well as factors related to anesthetic management. Patients who underwent two-stage esophagectomy were also excluded because two-stage surgery may be less invasive than one-stage surgery.

Patient data, surgical data, and anesthetic data, as well as laboratory data, were manually abstracted from the patients’ electronic charts. Data collected included: age, sex, height, body weight, body mass index (BMI), American Society of Anesthesiologists physical status (ASA-PS), history of cigarette smoking (Brinkman index), history of hypertension, diabetes mellitus, asthma, chronic obstructive pulmonary disease, heart disease, peripheral vascular disease, and chronic kidney disease (CKD), history of chemotherapy and radiotherapy, cancer histology, tumor location and preoperative cancer stage. The Union for International Cancer Control (UICC) Tumor Node Metastasis (TNM) Classification of Malignant Tumors, 8th edition, was used for staging esophageal cancer. Preoperative medications examined were: angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs), steroids, non-steroidal anti-inflammatory drugs (NSAIDs), statins, and diuretics. Preoperative laboratory values including hemoglobin, platelet, albumin, aspartate aminotransferase, alanine aminotransferase, total bilirubin, and serum creatinine (sCr) levels were obtained from the computerized medical records. The preoperative glomerular filtration rate (GFR) was estimated from the formula developed for Japanese adult patients and adjusted for each 1.73 m2 of body surface area: estimated GFR (eGFR) (mL/min/1.73 m2) = 194 × sCr (mg/dL)(−1.094) x Age (y)(−0.287) × 0.739 (if female) [10]. CKD was defined as a baseline eGFR ≤ 60 mL/min/1.73 m2. Surgical and anesthetic factors recorded were: MIE or open thoracotomy, organ used for reconstruction, route of reconstruction, maintenance anesthetic agent (inhalational or total intravenous anesthesia (TIVA)), thoracic epidural anesthesia, intraoperative administration of catecholamines (dopamine, dobutamine, norepinephrine, and epinephrine), ventilatory management (one-lung or two-lung ventilation), duration of surgery and anesthesia, volume and type of intraoperative fluids (crystalloid or hydroxyethyl starch) and albumin administered. Intraoperative transfusions of red blood cells (RBCs), fresh frozen plasma, or platelets, urine output, and estimated blood loss were recorded. One unit of each blood component was derived from 200 mL of whole blood.

Surgery and management of anesthesia

The anesthetic management method of choice for esophageal surgery, whether MIE or open thoracotomy, was basically a combination of general anesthesia and epidural anesthesia at our institution. The choice of maintenance anesthetic agent and analgesic drugs was left to the discretion of the anesthesiologists. Patient-controlled analgesia was routinely used epidurally for postoperative analgesia. If epidural anesthesia was not used for some reason, intravenous patient-controlled analgesia was used instead. MIE for esophageal cancer in the prone position was introduced in 2010 in our institution. Although one-lung ventilation with a double-lumen tube or a bronchial blocker was used when it was first implemented, ventilatory management was shifted from one-lung ventilation to two-lung ventilation in 2013 in patients who underwent MIE. At the end of the surgery, patients were routinely extubated in the operating room if there were no safety issues, such as a high risk of postoperative respiratory failure.

Definitions and outcomes

This study investigated the incidence of and risk factors for AKI after esophagectomy. Postoperative AKI was considered present if the postoperative sCr concentration reached ≥ 1.5 times the preoperative (baseline) sCr within 72 h after surgery or if there was an increase in sCr ≥ 0.3 mg/dL within 48 h during the 72-h observational period after surgery according to the Kidney Disease Improving Global Outcomes (KDIGO) creatinine criteria [11]. AKI in the early stage of the postoperative period was selected because it may be related to anesthetic management, and clarifying risk factors for early AKI after esophagectomy may facilitate improvements in anesthetic management. AKI that occurs in the later stage of the postoperative period was not included because it may be related to surgical complications (e.g., sepsis) rather than anesthetic management. The KDIGO urine output criteria for AKI were not used in the present study because of the possible lack of completeness and accuracy of both the measurement and recording of postoperative urine output.

Sample size estimation

Sample size was not estimated because the entire accessible cohort was included in this study.

Statistical analysis

Continuous variables are summarized as median (25th, 75th percentiles) or mean (standard deviation) values. Categorical variables are summarized as frequencies (percentages). Normally and non-normally distributed continuous data were analyzed using Student’s two-sample t-test and the Mann–Whitney U test, respectively. Categorical data were analyzed using Fisher’s exact test.

Multivariable logistic regression was used to model the relationship between postoperative AKI developing within 72 h and perioperative risk factors. To identify perioperative risk factors, exploratory data analysis was first performed using univariate comparisons. Then, the model included all covariates of clinical importance (age and sex), factors related to anesthetic management of interest (anesthetic agent (inhalational vs TIVA), epidural anesthesia, total intravenous fluid volume, and hydroxyethyl starch), and MIE or open thoracotomy regardless of statistical significance, and all covariates with associations on exploratory analysis (P < 0.1). To avoid multicollinearity, variables with high variance inflation factors (VIFs) (> 5) and/or with high correlation coefficients (r > 0.8) were not included, and the analyses were performed by backward stepwise selection methods. Data are presented as odds ratios with 95% confidence intervals. To confirm the relationship between AKI and anesthesia-related factors obtained by multivariable logistic regression analysis as a sensitivity analysis, factors other than anesthesia-related factors that had an independent relationship with AKI were excluded one by one, and multivariable logistic regression analysis was performed.

All tests were 2-sided, and a P value < 0.05 was considered significant. All statistical analyses were conducted using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan), which is a graphical user interface for R (The R foundation for Statistical Computing, Vienna, Austria) [12].

Results

A total of 1035 patients who underwent esophagectomy between January 2008 and December 2022 were identified for this study. None of the patients received dialysis preoperatively. After excluding 6 patients who underwent transhiatal esophagectomy, 13 patients who underwent mediastinoscopic esophagectomy, and 11 patients who underwent two-stage esophagectomy, 1005 patients were included in the final analysis. AKI was diagnosed in 48 patients (4.8%) within 72 h after surgery, of which 40 were stage 1, and 8 were stage 2. The incidence of AKI was 6.9% after open thoracotomy and 3.9% after MIE, with no significant difference (P = 0.052) between them.

Patients who developed AKI were significantly older, more likely to be male, and have higher ASA-PS and Brinkman index than non-AKI patients. AKI patients were more likely than non-AKI patients to have a history of hypertension, diabetes mellitus, heart disease, and CKD, and take ARBs. Hemoglobin, serum albumin concentration, and eGFR were lower, and sCr was higher in AKI patients than non-AKI patients (Table 1).

Table 1.

Patients’ preoperative characteristics

AKI (n = 48) Non-AKI (n = 957) value
Demographic factors
 Age, y (SD) 67.8 (6.7) 65.0 (9.5) 0.046
 Female, N (%) 3 (6.2) 183 (19.1) 0.022
 Height, cm (SD) 163.7 (7.3) 164.9 (7.8) 0.31
 Weight, kg (SD) 60.9 (12.1) 59.5 (11.1) 0.40
 BMI, kg/m2 (SD) 22.6 (3.6) 21.8 (3.2) 0.092
 ASA physical status, N (%) 0.0054
   1 1 (2.1) 147 (15.4)
   2 42 (87.5) 764 (79.8)
   3 5 (10.4) 46 (4.8)
   4 0 (0.0) 0 (0.0)
   5 0 (0.0) 0 (0.0)
 Brinkman index (IQR) 710 (425-1015) 528 (140-880) 0.031
 Chemotherapy, N (%) 26 (54.2) 517 (54.1) 1
 Radiotherapy, N (%) 4 (8.3) 60 (6.3) 0.54
Esophageal cancer
 Cancer histology, N (%) 0.28
   Squamous cell, N (%) 38 (79.2) 821 (85.8)
   Adenocarcinoma, N (%) 9 (18.8) 118 (12.3)
   Other, N (%) 1 (2.1) 18 (1.9)
 Tumor location 0.33
   Upper, N (%) 10 (20.8) 142 (14.8)
   Middle, N (%) 22 (45.8) 410 (42.8)
   Lower, N (%) 16 (33.3) 405 (42.3)
 Preoperative cancer stage, N (%) a 0.90
   0 0 (0.0) 6 (0.6)
   I 19 (39.6) 345 (36.1)
   II 12 (25.0) 238 (24.9)
   III 13 (27.1) 302 (31.6)
   IV 4 (8.3) 66 (6.9)
Comorbidity, N (%)
 Hypertension 35 (72.9) 362 (37.9) < 0.001
 Diabetes mellitus 11 (22.9) 103 (10.8) 0.017
 Asthma 0 (0.0) 34 (3.6) 0.40
 COPD 8 (16.7) 124 (13.0) 0.51
 Heart disease 14 (29.2) 112 (11.7) 0.0013
 Peripheral vascular disease 3 (6.2) 15 (1.6) 0.051
 Chronic kidney disease 19 (39.6) 137 (14.3) < 0.0001
Perioperative medication, N (%)
 ACE inhibitor 1 (2.1) 7 (0.7) 0.32
 ARB 14 (29.2) 149 (15.6) 0.025
 Steroid 0 (0.0) 8 (0.8) 1
 NSAID 1 (2.1) 53 (5.5) 0.51
 Statin 6 (12.5) 81 (8.5) 0.30
 Diuretic 3 (6.2) 21 (2.2) 0.10
Laboratory test
 Hemoglobin, g/dL (SD) 12.0 (1.6) 12.5 (1.6) 0.041
 Platelets, x 103/μL (SD) 215 (81) 232 (72) 0.10
 Albumin, g/dL (SD) 3.9 (0.4) 4.0 (0.4) 0.028
 AST, IU/L (SD) 20.8 (6.9) 22.0 (10.6) 0.42
 ALT, IU/L (IQR) 17.9 (9.7) 18.5 (16.1) 0.80
 Total bilirubin mg/dL (SD) 0.48 (0.21) 0.48 (0.22) 0.98
 Creatinine, mg/dL (SD) 0.97 (0.31) 0.77 (0.19) < 0.0001
 eGFR, mL/min/1.73 m2 (SD) 65.0 (19.6) 77.9 (18.3) < 0.0001

AKI acute kidney injury, SD standard deviation, BMI body mass index, ASA American Society of Anesthesiologists, IQR interquartile range, COPD chronic obstructive pulmonary disease, ACE angiotensin-converting enzyme, ARB angiotensin II receptor blocker, NSAID non-steroidal anti-inflammatory drug, AST aspartate aminotransferase, ALT alanine aminotransferase, eGFR estimated glomerular filtration rate

aThe Union for International Cancer Control (UICC) Tumor Node Metastasis (TNM) Classification of Malignant Tumors, 8th edition, was used for staging esophageal cancer

There were significant differences in which reconstruction route was chosen between AKI and non-AKI patients. Duration of surgery and anesthesia were significantly longer in AKI patients than in non-AKI patients. Epidural anesthesia was more likely chosen in non-AKI patients than in AKI patients, though no difference was found in the anesthetic agents (inhalational vs. TIVA) between them. Epidural anesthesia was not performed in 94 patients. The reasons for not performing epidural anesthesia included preoperative drug administration (anticoagulants, antiplatelet drugs, etc.) in 42 patients, planned postoperative anticoagulant therapy in 22 patients, unknown in 16 patients, preoperative abnormal test results due to comorbid diseases (coagulation function, etc.) in 12 patients, preexisting neurological disorder in 1 patient, and patient non-consent in 1 patient.

There were no significant differences in the amount of crystalloid, hydroxyethyl starch, or albumin as well as total of intravenous fluid, administered between AKI and non-AKI patients. The amount of blood loss during surgery was higher in AKI patients than in non-AKI patients, and the frequency of RBC transfusions was higher in AKI patients than in non-AKI patients. Only 10 and 1 patients received fresh frozen plasma and platelet during anesthesia, respectively. There were significant differences between the groups in intraoperative fluid balance and intraoperative blood balance. The proportion of patients who received dopamine was significantly higher in the AKI group than in the non-AKI group (Table 2). No patients received dobutamine or epinephrine.

Table 2.

Perioperative variables

AKI (n = 48) Non-AKI (n = 957) value
Surgery
 Minimally invasive esophagectomy, N (%) 27 (56.2) 673 (70.3) 0.052
 Reconstructedorgans, N (%) 1
  Stomach 47 (97.9) 920 (96.1)
  Others 1 (2.1) 37 (3.9)
 Reconstruction route, N(%) 0.0065
  Retrosternal 22 (45.8) 519 (54.2)
Intrathoracic 14 (29.2) 284 (29.7)
  Posterior mediastinum 6 (12.5) 133 (13.9)
  Others 6 (12.5) 21 (2.2)
 Duration of surgery, min (IQR) 604 (551-720) 565 (502-642) 0.0028
Anesthesia
 Anesthetic agent, N (%) 1
  Inhalational 47 (97.9) 918 (95.9)
  TIVA 1 (2.1) 39 (4.1)
 Epidural, N(%) 35 (72.9)   876 (91.5) < 0.001
 Ventilatory management 0.043
  One-lung ventilation 23 (47.9) 320 (33.4)
  Two-lung ventilation 25 (52.1) 637 (66.6)
 Total intravenous fluid, mL(IQR) 4665 (3725-5935) 4300 (3600-5200) 0.058
 Crystalloid, mL(IQR) 3650 (3000-4553) 3300 (2700-4170) 0.097
 Hydroxyethyl starch, mL(IQR) 1000 (500-1000) 1000 (500-1000) 0.94
 Albumin, mL(IQR) 0 (0-475) 0 (0-250) 0.10
 Estimated blood loss, mL(IQR) 280 (168-543) 140 (70-315) < 0.001
 Urine volume, ml (IQR) 590 (408-974) 630 (420-1000) 0.60
 RBC transfusion, N (%) 6 (12.5) 33 (3.4) 0.0085
 Intraoperative fluid balance, mL (IQR) 3955 (3233-4883) 3520 (2980-4270) 0.015
 Intraoperative blood balance, mL (IQR) -250 (-433--120) -130 (-300--70) <0.001
Administration of catecholamines during anesthesia
 Dopamine, N (%) 11 (22.9) 109 (11.4) 0.023
 Norepinephrine, N (%) 3 (6.2) 41 (4.3) 0.46
 Duration of anesthesia, min (IQR) 518 (479-641) 490 (426-567) 0.0058

AKI acute kidney injury, IQR interquartile range, TIVA total intravenous anesthesia, RBC red blood cell

The multivariable model for developing AKI was adjusted for age, sex, BMI, Brinkman index, hypertension, diabetes mellitus, heart disease, CKD, peripheral vascular disease, ARBs, preoperative hemoglobin concentration, preoperative albumin concentration, dopamine, duration of anesthesia, epidural anesthesia, anesthetic agent, MIE, reconstruction route, total intravenous fluid volume, hydroxyethyl starch, estimated blood loss, and RBC transfusion. Duration of surgery was not included in the model since it was highly correlated with the duration of anesthesia (r = 0.95). Intraoperative fluid balance and intraoperative blood balance were not included in the multivariable logistic regression model because their VIF values were > 5. ASA-PS was not included in the multivariable model because it is related to other variables such as hypertension, diabetes mellitus, and CKD. Since the retrosternal route was chosen in approximately half of the patients, intrathoracic, posterior mediastinal, and other routes were combined in the multivariable logistic regression analysis. On multivariable logistic regression analysis, the Brinkman index, hypertension, CKD, duration of anesthesia, epidural anesthesia, and RBC transfusion were significantly associated with AKI. During the process of backward stepwise selection, age, sex, BMI, diabetes mellitus, heart disease, peripheral vascular disease, ARBs, preoperative hemoglobin concentration, preoperative albumin concentration, dopamine, anesthetic agent, MIE, reconstruction route, total intravenous fluid volume, hydroxyethyl starch, and estimated blood loss were eliminated from the multivariable regression analysis model (Table 3). Of the anesthesia-related factors, only epidural anesthesia was significantly associated with AKI. Therefore, in the sensitivity analysis, the five factors other than epidural anesthesia were excluded one by one, and multivariable logistic regression analysis was performed. All models showed that epidural anesthesia was independently associated with AKI (Table 4).

Table 3.

Multivariable logistic regression analysis for postoperative acute kidney injury

Variable OR unadj OR adj 95% CI P-value
Age (y) 1.03 ------ -------------- --------
Sex (male) 3.55 ------ -------------- --------
Body mass index 1.08 ------ -------------- --------
Brinkman index (per 100 units) 1.08 1.06 1.01—1.11 0.016
Hypertension 4.42 3.39 1.73 — 6.64 < 0.001
Diabetes mellitus 2.46 ------ -------------- --------
Heart disease 3.10 ------ -------------- --------
Chronic kidney disease 3.92 2.58 1.35 — 4.95 0.0042
Peripheral vascular disease 4.18 ------ -------------- --------
ARB 2.23 ------ -------------- --------
Preoperative hemoglobin concentration (g/dL) 0.84 ------ -------------- --------
Preoperative albumin concentration (mg/dL) 0.44 ------ -------------- --------
Administration of dopamine 2.31 ------ -------------- --------
Duration of anesthesia (per 10 min) 1.04 1.03 1.00 — 1.06 0.032
Epidural anesthesia 0.25 0.35 0.17 — 0.74 0.0058
Anesthetic agent
 Inhalational 2.00 ------ -------------- --------
 TIVA 1 (reference)
Surgery
 MIE 0.54 ------ -------------- --------
 Open thoracotomy 1 (reference)
Reconstruction route
 Retrosternal route 0.71 ------ -------------- --------
 Other routes 1 (reference)
Total intravenous fluid volume (per 100 mL) 1.02 ------ -------------- --------
Hydroxyethyl starch (per 100 mL)                  1.00 ------ -------------- --------
Estimated blood loss (per 100 mL) 1.11 ------ -------------- --------
RBC transfusion 4.00 3.27 1.18 — 9.08 0.023

OR unadj odds ratio unadjusted, OR adj odds ratio adjusted, CI confidence interval, ARB angiotensin II receptor blocker, TIVA total intravenous anesthesia, MIE minimally invasive esophagectomy, RBC red blood cell

Table 4.

Sensitivity analysis

Variable OR adj 95% CI P-value
Model 1: Brinkman index eliminated from the original model
 Chronic kidney disease 2.65 1.39 — 5.06 0.0030
 Duration of anesthesia (per 10 min) 1.03 1.01 — 1.06 0.016
 Epidural anesthesia 0.35 0.17 — 0.73 0.0050
 Hypertension 3.47 1.77 — 6.79 < 0.001
 RBC transfusion 3.23 1.17 — 8.90 0.023
Model 2: Hypertension eliminated from the original model
 Brinkman index (per 100 units) 1.06 1.01 — 1.12 0.010
 Chronic kidney disease 3.08 1.63 — 5.84 < 0.001
 Duration of anesthesia (per 10 min) 1.03 1.00 — 1.05 0.043
 Epidural anesthesia 0.32 0.15 — 0.66 0.0022
 RBC transfusion 4.00 1.47 — 10.9 0.0066
Model 3: Chronic kidney disease eliminated from the original model
 Brinkman index (per 100 units) 1.06 1.01 — 1.12 0.011
 Duration of anesthesia (per 10 min) 1.03 1.00 — 1.06 0.035
 Epidural anesthesia 0.31 0.15 — 0.63 0.0014
 Hypertension 3.78 1.94 — 7.35 < 0.001
 RBC transfusion 3.62 1.35 — 9.74 0.011
Model 4: Duration of anesthesia eliminated from the original model
 Brinkman index (per 100 units) 1.07 1.02 — 1.12 0.0085
 Chronic kidney disease 2.55 1.33 — 4.86 0.0046
 Epidural anesthesia 0.32 0.15 — 0.66 0.0020
 Hypertension 3.30 1.69 — 6.45 < 0.001
 RBC transfusion 3.59 1.32 — 9.79 0.013
Model 5: RBC transfusion eliminated from the original model
 Brinkman index (per 100 units) 1.06 1.01 — 1.11 0.023
 Chronic kidney disease 2.56 1.34 — 4.87 0.0044
 Duration of anesthesia (per 10 min) 1.03 1.01 — 1.06 0.013
 Epidural anesthesia 0.36 0.17 — 0.75 0.0059
 Hypertension 3.61 1.84 — 7.05 < 0.001
 Preoperative albumin concentration 0.43 0.19 — 0.97 0.041

OR adj odds ratio adjusted, CI confidence interval, RBC red blood cell

No significant difference in in-hospital mortality was found between AKI and non-AKI patients. There were significant differences in length of hospital stay and incidence of reintubation between AKI and non-AKI patients. The median length of hospital stay was 19 days, and the frequency of patients with a length of hospital stay exceeding 19 days was significantly higher in AKI patients than in non-AKI patients (Table 5).

Table 5.

Outcomes

AKI (n = 48) Non-AKI (n = 957) P value
In-hospital mortality (n (%)) 1 (2.1) 7 (0.7) 0.32
Hospital stay (days, IQR) 26 (22-31) 18 (15-25) <0.001
Hospital stay > 19 days (n (%)) 40 (83.3) 426 (44.5) <0.001
Re-intubation (n (%)) 14 (29.2) 50 (5.2) <0.001

AKI acute kidney injury, IQR interquartile range

Discussion

The incidence of AKI within 72 h after esophagectomy and factors related to it were evaluated. The incidence of early postoperative AKI was 4.8%, with no significant difference between open thoracotomy and MIE. On multivariable logistic regression analysis, epidural anesthesia appeared to have a protective effect against early postoperative AKI, whereas the type of anesthetic agent, the total intravenous fluid volume, and the amount of hydroxyethyl starch were not associated with it. Although there was no difference in in-hospital mortality, the length of hospital stay was significantly longer in AKI patients than in non-AKI patients. 

Several studies have investigated early AKI after esophageal surgery [8, 1315]; however, few have examined the relationship between AKI and factors related to anesthetic management, such as a comparison between inhaled anesthetics and TIVA, the effects of epidural anesthesia, the amount of intravenous fluid administered, and hydroxyethyl starch. For example, Wang et al. [8] analyzed epidural anesthesia as a factor related to anesthetic management in patients undergoing esophageal surgery, but other reports did not take into account the type of anesthetic agent or epidural anesthesia. In the study by Wang et al. [8], no difference was found in early postoperative AKI between patients who received epidural anesthesia and those who did not. The reason for the difference in the effect of epidural anesthesia on postoperative AKI between the study by Wang et al. [8] and the present study is unclear, but it may be related to the selection of epidural anesthesia patients between their study and the present one. In other words, we basically use epidural anesthesia as a means of analgesia in esophageal surgery, with a usage frequency of 91%, whereas Wang et al. used it only in a limited number of patients, with a usage frequency of 16% [8].

In the present study, the incidence of AKI within 72 h after esophagectomy was 4.8%, which is within the range reported in other studies (2.4–35.3%) [8, 1315]. Furthermore, there was no difference in the incidence of AKI between open and thoracoscopic surgery (6.9 vs. 3.9%) in the present study. Some published studies have reported that thoracoscopic surgery is associated with a lower incidence of AKI than open surgery [2]. The mechanism underlying the difference in the incidence of postoperative AKI between MIE and open thoracotomy may be that open thoracotomy is more invasive and, therefore produces a stronger inflammatory response than MIE [16], since inflammation is thought to be one of the mechanisms of postoperative AKI [17]. The difference between the study by Dyas et al. [2] and the present study regarding whether there was a difference in the frequency of AKI between MIE and open thoracotomy may be related to the fact that the international definition of AKI was not used in the study by Dyas et al. [2]. However, the small number of patients in the present study, particularly those who underwent open thoracotomy, may have prevented the detection of a significant difference.

Multivariable logistic regression analysis in the present study showed that epidural anesthesia was significantly associated with a reduction in early postoperative AKI. To the best of our knowledge, no previous studies have demonstrated the effectiveness of epidural analgesia in reducing early postoperative AKI in patients undergoing esophagectomy. However, apart from esophagectomy, there are two randomized controlled trials that have investigated the effect of epidural anesthesia on postoperative renal dysfunction. In a study in which 188 pediatric patients undergoing cardiac surgery under cardiopulmonary bypass were randomly divided into two groups [18], one of which received epidural anesthesia and the other did not, the frequency of AKI requiring postoperative renal replacement therapy was shown to be significantly higher in the group that did not receive epidural anesthesia. In a study in which 40 patients undergoing robot-assisted urological surgery were randomly divided into two groups [19], one of which received combined general-epidural anesthesia and the other general anesthesia alone, there was no significant difference in the incidence of postoperative AKI, but postoperative plasma neutrophil gelatinase associated lipocalin concentrations were significantly lower in the combined general-epidural anesthesia group. Furthermore, epidural anesthesia has been shown to reduce postoperative AKI in abdominal aortic aneurysm repair [20]. Although the mechanism was unclear in these studies, it was assumed that the reduction in postoperative AKI by epidural anesthesia involves sympathetic nerve blocking effects, anti-inflammatory effects, and reduced cytokine production [19, 20]. Previous studies have shown the effectiveness of epidural anesthesia in reducing inflammatory and stress responses during and after esophageal surgery [2123]. Although it is not possible to prove the involvement of inflammatory responses or stress responses, a similar mechanism to that described above may have acted to reduce AKI through epidural anesthesia in the present study. However, since the reason for not performing epidural anesthesia was not fully specified in the present study, the possibility that factors not measured in this study may have been involved cannot be excluded.

Various guidelines for esophageal surgery strongly recommend epidural analgesia as a method of postoperative analgesia [24, 25]. Epidural analgesia has been shown to contribute to reducing postoperative complications such as pneumonia and anastomotic leaks in patients after esophageal surgery [26], but its effectiveness in preventing postoperative AKI has not been established. The present study may suggest that one of the mechanisms by which postoperative epidural analgesia improves the outcomes of patients undergoing esophagectomy is its effect to prevent postoperative AKI.

A study by Wang et al. has already shown that smoking is significantly associated with AKI after esophageal cancer surgery [8]. Although smoking was independently associated with early postoperative AKI in the present study, it may not be clinically significant since the odds ratio per 100 units of the Brinkman index was small (1.06). The effect of smoking on postoperative AKI has not been fully investigated, but it is thought to involve endothelial dysfunction, activation of the renin-angiotensin system [27, 28], and oxidative stress [29]. Hypertension, CKD, and RBC transfusion, which were shown to be associated with AKI in the present study, have been established as risk factors for postoperative AKI [17]. The duration of anesthesia may reflect the complexity, difficulty, and invasiveness of the surgery.

Although no independent association was found between dopamine and postoperative AKI, the frequency of dopamine use was significantly higher in the AKI group. The reason for this is unclear, however, since one of the studies investigating the effects of dopamine on the kidney [30] showed that dopamine increased urinary retinol-binding protein (a biomarker of early renal tubular damage) in patients after coronary artery bypass surgery, the possibility that dopamine had a harmful effect on the kidney in this study cannot be excluded.

Several limitations of the present study need to be addressed. First, as with all observational research, residual or unmeasured confounders may be an alternative explanation for the results. Generalizability is limited to centers with patient and surgical profiles similar to our own. Second, intraoperative hypotension is an important risk factor for AKI in noncardiac surgery [31], but detailed intraoperative hemodynamic data were not available in this study. The lack of sufficient data on oxygenation during surgery is also considered to be one of the limitations of this study. Last, the number of patients in this study was relatively small, and it was necessary to include the entire cohort, precluding sample size calculation.

Conclusions

The incidence of AKI within 72 h after surgery was 4.8%. Of the factors associated with anesthetic management, epidural anesthesia may have a protective effect against early postoperative AKI, whereas the type of anesthetic agent, total intravenous fluid volume, and the volume of hydroxyethyl starch infusion were not associated with early postoperative AKI. Epidural anesthesia should be encouraged in patients undergoing esophagectomy for esophageal cancer. Further research is needed to obtain clear results on the impact of MIE on postoperative AKI. Length of hospital stay was significantly longer in AKI patients than in non-AKI patients.

Acknowledgements

The authors thank FORTE Science Communications (https://www.forte-science.co.jp/) for English language editing.

Abbreviations

MIE

Minimally invasive esophagectomy

AKI

Acute kidney injury

STROBE

Strengthening the Reporting of Observational Studies in Epidemiology

ASA-PS

American Society of Anesthesiologists physical status

CKD

Chronic kidney disease

UICC

Union for International Cancer Control

TNM

Tumor node metastasis

ACE

Angiotensin-converting enzyme

ARB

Angiotensin II receptor blocker

NSAID

Non-steroid anti-inflammatory drug

sCr

Serum creatinine

eGFR

Estimated glomerular filtration rate

TIVA

Total intravenous anesthesia

RBC

Red blood cell

KDIGO

Kidney Disease Improving Global Outcomes

VIF

Variance inflation factors

Authors’ contributions

SI wrote the original version of the manuscript. JH, MH and SO helped revise the manuscript. MW and KT helped revise the manuscript and supervised the work. All authors read and approved the final manuscript.

Funding

This work was funded by the Department of Anesthesiology, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Japan. The authors declare no conflict of interest associated with this manuscript.

Data availability

The datasets used and/or analyzed during this study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

This study was approved by the Institutional Review Board of The Cancer Institute Hospital of Japanese Foundation for Cancer Research (No. 1682, June 15, 2023), and the need for informed consent was waived.

Consent for publication

The need for informed consent was waived.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Oshikiri T, Takiguchi G, Miura S, Takase N, Hasegawa H, Yamamoto M, et al. Current status of minimally invasive esophagectomy for esophageal cancer: Is it truly less invasive? Ann Gastroenterol Surg. 2018;3:138–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Dyas AR, Stuart CM, Bronsert MR, Schulick RD, McCarter MD, Meguid RA. Minimally invasive surgery is associated with decreased postoperative complications after esophagectomy. J Thorac Cardiovasc Surg. 2023;166:268–78. [DOI] [PubMed] [Google Scholar]
  • 3.Sakamoto T, Fujiogi M, Matsui H, Fushimi K, Yasunaga H. Comparing perioperative mortality and morbidity of minimally invasive esophagectomy versus open esophagectomy for esophageal cancer: A nationwide retrospective analysis. Ann Surg. 2021;274:324–30. [DOI] [PubMed] [Google Scholar]
  • 4.Kim CS, Oak CY, Kim HY, Kang YU, Choi JS, Bae EH, et al. Incidence, predictive factors, and clinical outcomes of acute kidney injury after gastric surgery for gastric cancer. PLoS ONE. 2013;8:e82289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Tomozawa A, Ishikawa S, Shiota N, Cholvisudhi P, Makita K. Perioperative risk factors for acute kidney injury after liver resection surgery: an historical cohort study. Can J Anesth. 2015;62:753–61. [DOI] [PubMed] [Google Scholar]
  • 6.Hansen MK, Gammelager H, Mikkelsen MM, Hjortdal VE, Layton JB, Johnsen SP, et al. Post-operative acute kidney injury and five-year risk of death, myocardial infarction, and stroke among elective cardiac surgical patients: a cohort study. Crit Care. 2013;17:R292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ishikawa S, Tanaka M, Maruyama F, Fukagawa A, Shiota N, Matsumura S, et al. Effects of acute kidney injury after liver resection on long-term outcomes. Korean J Anesthesiol. 2017;70:527–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wang W, Wang T, Feng X, Sun L. Incidence and risk factors of acute kidney injury after esophageal cancer surgery: A nested case-control study. Int J Surg. 2017;39:11–5. [DOI] [PubMed] [Google Scholar]
  • 9.von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, STROBE Initiative.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147:573–7. [DOI] [PubMed] [Google Scholar]
  • 10.Matsuno S, Imai E, Horino M, Yasuda Y, Tomita K, Mitta K, et al. Collaborators developing the Japanese equation for estimated GFR. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92. [DOI] [PubMed] [Google Scholar]
  • 11.Khwaja A. KDIGO clinical practice guidelines for acute kidney injury. Nephron Clin Pract. 2012;120:c179–84. [DOI] [PubMed]
  • 12.Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013;48:452–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lee EH, Kim HR, Baek SH, Kim KM, Chin JH, Choi DK, et al. Risk factors of postoperative acute kidney injury in patients undergoing esophageal cancer surgery. J Cardiothorac Vasc Anesth. 2014;28:936–42. [DOI] [PubMed] [Google Scholar]
  • 14.Murphy CF, Dunne T, Elliott JA, Kamarajah SK, Leighton J, Evans RPT, et al. Acute kidney injury after esophageal cancer surgery: Incidence, risk factors, and impact on oncologic outcomes. Ann Surg. 2022;275:e683–9. [DOI] [PubMed] [Google Scholar]
  • 15.Konda P, Ai D, Gurra CE, Rodriguez-Restrepo A, Mehran RJ, Rice D, et al. Identification of risk factors associated with postoperative acute kidney injury after esophagectomy for esophageal cancer. J Cardiothorac Vasc Anesth. 2017;31:474–81. [DOI] [PubMed] [Google Scholar]
  • 16.Kanekiyo S, Takeda S, Tsutsui M, Nishiyama M, Kitahara M, Shindo Y, et al. Low invasiveness of thoracoscopic esophagectomy in the prone position for esophageal cancer: a propensity score-matched comparison of operative approaches between thoracoscopic and open esophagectomy. Surg Endosc. 2018;32:1945–53. [DOI] [PubMed] [Google Scholar]
  • 17.Boyer N, Eldridge J, Prowle JR, Forni LG. Postoperative acute kidney injury. Clin J Am Soc Nephrol. 2022;17:1535–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kumar A, Ghotra GS, Dwivedi D, Bhargava DV, Joshi A, Tiwari N, et al. Common inflammatory markers and outcome after pediatric cardiac surgery with high thoracic epidural anesthesia: A randomized controlled study. World J Pediatr Congenit Heart Surg. 2023;14:334–44. [DOI] [PubMed] [Google Scholar]
  • 19.Orsolya M, Attila-Zoltan M, Gherman V, Zaharie F, Bolboaca S, Chira C, et al. The effect of anaesthetic management on neutrophil gelatinase associated lipocalin (NGAL) level after robotic surgical oncology. JBUON. 2015;20:317–24. [PubMed] [Google Scholar]
  • 20.Salata K, Abdallah FW, Hussain MA, de Mestral C, Greco E, Aljabri B, et al. Short-term outcomes of combined neuraxial and general anaesthesia versus general anaesthesia alone for elective open abdominal aortic aneurysm repair: retrospective population-based cohort study. Br J Anaesth. 2020;124:544–52. [DOI] [PubMed] [Google Scholar]
  • 21.Fares KM, Mohamed SA, Hamza HM, Sayed DM, Hetta DF. Effect of thoracic epidural analgesia on proinflammatory cytokines in patients subjected to protective lung ventilation during Ivor Lewis esophagectomy. Pain Physician. 2014;17:305–15. [PubMed] [Google Scholar]
  • 22.Wang J, Yin Y, Zhu Y, Xu P, Sun Z, Miao C, et al. Thoracic epidural anaesthesia and analgesia ameliorates surgery-induced stress response and postoperative pain in patients undergoing radical oesophagectomy. J Int Med Res. 2019;47:6160–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Gu CY, Zhang J, Qian YN, Tang QF. Effects of epidural anesthesia and postoperative epidural analgesia on immune function in esophageal carcinoma patients undergoing thoracic surgery. Mol Clin Oncol. 2015;3:190–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Findlay JM, Gillies RS, Millo J, Sgromo B, Marshall RE, Maynard ND. Enhanced recovery for esophagectomy: a systematic review and evidence-based guidelines. Ann Surg. 2014;259:413–31. [DOI] [PubMed] [Google Scholar]
  • 25.Low DE, Allum W, De Manzoni G, Ferri L, Immanuel A, Kuppusamy M, et al. Guidelines for perioperative care in esophagectomy: Enhanced Recovery After Surgery (ERAS(®)) Society recommendations. World J Surg. 2019;43:299–330. [DOI] [PubMed] [Google Scholar]
  • 26.Li W, Li Y, Huang Q, Ye S, Rong T. Short and long-term outcomes of epidural or intravenous analgesia after esophagectomy: A propensity-matched cohort study. PLoS ONE. 2016;11:e0154380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Orth SR. Effects of smoking on systemic and intrarenal hemodynamics: influence on renal function. J Am Soc Nephrol. 2004;15(Suppl 1):S58–63. [DOI] [PubMed] [Google Scholar]
  • 28.Orth SR. Smoking and the kidney. J Am Soc Nephrol. 2002;13:1663–72. [DOI] [PubMed] [Google Scholar]
  • 29.Arany I, Grifoni S, Clark JS, Csongradi E, Marik C, Juncos LA. Chronic nicotine exposure exacerbates acute renal ischemic injury. Am J Physiol Renal Physiol. 2011;301:F125–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Tang AT, El-Gamel A, Keevil B, Yonan N, Deiraniya AK. The effect of “renal-dose” dopamine on renal tubular function following cardiac surgery: assessed by measuring retinol binding protein (RBP). Eur J Cardiothorac Surg. 1999;15:717–21. [DOI] [PubMed] [Google Scholar]
  • 31.Walsh M, Devereaux PJ, Garg AX, Kurz A, Turan A, Rodseth RN, et al. Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension. Anesthesiology. 2013;119:507–15. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during this study are available from the corresponding author on reasonable request.


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